Prediction of temperature and crystal growth evolution during 3D printing of polymeric materials via extrusion

Yuan, Yunong; Abeykoon, Chamil; Mirihanage, Wajira; Fernando, Anura; Kao, Y.H.; Harings, Jules

doi:10.1016/j.matdes.2020.109121

Cited by 14 publications

(6 citation statements)

References 27 publications

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“…The bottom area represents the receptor compartment of a Franz type diffusion cell. Since the two‐dimensional model is symmetric, only half of the model is used in calculation to save computer resources and time 41 …”

Section: Resultsmentioning

confidence: 99%

“…All other features showed little relevance in the prediction. In our previous studies, we used mechanistic modeling to predict crystal growth of materials for additive manufacturing, 41 to predict mammalian cell seeding inside microwells for tissue engineering, 43 and to count cells automatically on microscopic images for image recognition applications. 44 These methods are based on physical rules, such as the heat transfer equation and Stokes' formula of falling velocity.…”

Section: Feature Significancementioning

confidence: 99%

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Prediction of drug permeation through microneedled skin by machine learning

Yuan

Han

Yap³

et al. 2023

Bioengineering & Transla Med

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Stratum corneum is the outermost layer of the skin preventing external substances from entering human body. Microneedles (MNs) are sharp protrusions of a few hundred microns in length, which can penetrate the stratum corneum to facilitate drug permeation through skin. To determine the amount of drug delivered through skin, in vitro drug permeation testing is commonly used, but the testing is costly and time‐consuming. To address this issue, machine learning methods were employed to predict drug permeation through the skin, circumventing the need of conducting skin permeation experiments. By comparing the experimental data and simulated results, it was found extreme gradient boosting (XGBoost) was the best among the four simulation methods. It was also found that drug loading, permeation time, and MN surface area were critical parameters in the models. In conclusion, machine learning is useful to predict drug permeation profiles for MN‐facilitated transdermal drug delivery.

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Section: Resultsmentioning

confidence: 99%

Section: Feature Significancementioning

confidence: 99%

Prediction of drug permeation through microneedled skin by machine learning

Yuan

Han

Yap³

et al. 2023

Bioengineering & Transla Med

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show abstract

“…These technologies offer new opportunities and greater freedom in design, the final products have improved mechanical properties and customizable geometries, the manufacturing process is faster, and --------------the production costs are lower [4,5]. Various materials are used in 3-D printing processes, from polymers, to polymer composites, various thermoplastics, graphene-based materials, metals, alloys, and concrete [6,7].…”

Section: Introductionmentioning

confidence: 99%

Investigation of thermal and dimensional behavior of 3-D printed materials using thermal imaging and 3-D scanning

Golubović

Travica²,

Trajković³

et al. 2023

THERM SCI

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Fused deposition modeling is one of the most widely used 3-D printing technologies, among other additive manufacturing processes, because it is easy to use, can produce parts faster, and the cost of the finished part is low. Printing processes and finished parts are often studied and characterized using different techniques to collect mechanical, numerical, thermal and dimensional data, with the aim of improving and optimizing the result. The first part of this research is based on the observation of temperature changes with a thermal imaging camera during the fused deposition modeling printing process and during the cooling process after printing. Specimens of polylactic acid and polylactic acid-X improved with second-phase particles were prepared to compare the thermal and dimensional properties of the two materials. The obtained results determined the characteristic temperature behavior of the materials. In the second part of the research, a 3-D optical scanner was used to verify the stability and accuracy of the printed specimens over time. The proposed measurement period showed that stabilization of the parameters takes place, and further follow-up should be performed thereafter.

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“…3D printing is already being used to fabricate all kinds of customized biomedical devices and tissues with controllable precision. [30][31][32] Its extended application in bone regenerative medicine is to construct a three-dimensional spatial structure bionic bone/cartilage scaffold (3D bioprinting) based on 3D modeling (computer-aided design [CAD]). Integrating multifunctional biomaterials, cells, and growth factors during printing endows the scaffold with excellent bioactivity as a substitute for native bone tissue.…”

Section: Introductionmentioning

confidence: 99%

“…3D printing was initially designed to rapidly construct objects by layer‐by‐layer printing based on digital model files. 3D printing is already being used to fabricate all kinds of customized biomedical devices and tissues with controllable precision 30–32 . Its extended application in bone regenerative medicine is to construct a three‐dimensional spatial structure bionic bone/cartilage scaffold (3D bioprinting) based on 3D modeling (computer‐aided design [CAD]).…”

Section: Introductionmentioning

confidence: 99%

Recent progress in 3D printing degradable polylactic acid‐based bone repair scaffold for the application of cancellous bone defect

Lin

et al. 2022

MedComm – Biomaterials and Applications

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Large size bone defects have become a growing clinical challenge. Cancellous bone, which has the highest volume ratio, the fastest replacement rate, and interconnected porous structure, plays a major role in bone repairing. Considering the structure and composition of cancellous bone, building a bionic 3D scaffold via customized‐3D printing technology is the key to solving the problem. As the earliest degradable medical polymer material approved by Food and Drug Administration, polylactic acid has been proved to have excellent biosafety and can be copolymerized or blended with other synthetic polymers, natural polymers, and inorganic materials to improve its performance to better meet clinical applications. A series of biodegradable bone repair scaffolds based on polylactic acid composites and 3D printing technology are developed to achieve large bone defects. Here, we review the composition and structure of cancellous bone, highlighting the relationship to the requirements of bone repair scaffolds. The different types of polylactic‐acid‐based materials applied in 3D printing technology are described, emphasizing the connection between materials, preparation methods, and applications.

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Prediction of temperature and crystal growth evolution during 3D printing of polymeric materials via extrusion

Cited by 14 publications

References 27 publications

Prediction of drug permeation through microneedled skin by machine learning

Prediction of drug permeation through microneedled skin by machine learning

Investigation of thermal and dimensional behavior of 3-D printed materials using thermal imaging and 3-D scanning

Recent progress in 3D printing degradable polylactic acid‐based bone repair scaffold for the application of cancellous bone defect

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